Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer
Most existing point cloud completion methods suffer from the discrete nature of point clouds and the unstructured prediction of points in local regions, which makes it difficult to reveal fine local geometric details. To resolve this issue, we propose SnowflakeNet with snowflake point deconvolution...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 5 vom: 25. Mai, Seite 6320-6338
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| Auteur principal: |
Xiang, Peng
(Auteur) |
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| Autres auteurs: |
Wen, Xin,
Liu, Yu-Shen,
Cao, Yan-Pei,
Wan, Pengfei,
Zheng, Wen,
Han, Zhizhong |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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